The term manufacturing generally encompasses the entire industrial production process:
- Product design
- Process automation and digitalization
- Quality control and batch traceability
- Logistics and supply chain management
- Plant maintenance and optimization
In essence, manufacturing is the beating heart of industry, and in this process, monitoring production data is crucial for optimizing efficiency, quality, and sustainability. Adopting real-time data collection technologies is therefore fundamental, as it allows for anticipating faults, reducing line stoppages, and improving productivity.
In Italy, the manufacturing industry accounts for approximately 14-15% of GDP: according to the World Bank, its contribution to GDP was 15.37% in 2023 and slightly decreased to 14.55% in 2024.
This significant weight makes every improvement in operational efficiency strategic. Monitoring also allows for collecting ESG (Environmental, Social, Governance) data, which is becoming a priority with increasingly stringent regulations. The adoption of advanced monitoring systems also supports Industry 4.0, pushing Italian companies towards increasingly competitive smart factories.
In this article, we will therefore explore this topic in more detail, examining the state of the art in Italy, key sectors, the advantages of monitoring in manufacturing, the solutions Revelis offers, and the challenges and future prospects of manufacturing in Italy.
The state of manufacturing in Italy: data and key sectors
In Italy, the manufacturing sector is diversified, with machinery, automotive, food, and fashion standing out. In particular, the machine tool, metal products, food, and fashion sectors represent 46% of the value added and approximately 42% of the total turnover of Italian industry.
According to the Intesa Sanpaolo + Prometeia report, Italian manufacturing turnover was expected to stabilize at around €1,160 billion in 2024, an increase compared to 2019. The industrial automation and control market is also expanding: in 2022, over 52% of companies implemented digital technologies, while robot adoption grew by 25%, with over 9,300 units installed. Furthermore, there are approximately 13,000 startups linked to industrial digitalization, 14% of which are focused on the manufacturing sector.
The advantages of data monitoring in manufacturing
Within the manufacturing context, digital-driven data monitoring offers concrete advantages. Here are some examples:
- Predictive Maintenance: Reduces downtime through preventive analysis of fault signals. With AI and data analysis, unexpected breakdowns and operational costs are reduced.
- Consumption Optimization: Energy and resource monitoring allows for reducing waste, improving environmental efficiency and sustainability.
- Quality and Traceability: MES systems and statistical control enable monitoring every production step, ensuring high standards and regulatory compliance, especially in the food and pharmaceutical sectors.
- Flexible Planning: Thanks to real-time data, processes can be adapted to demand or stock variability, which is strategic in highly customized sectors like fashion and design.
These innovations have a direct impact on productivity and turnover. A tangible example is the capital goods sector: in 2020, the 5,000 companies in this sector generated over €41 billion in turnover, equal to 2.5% of GDP, with exports accounting for 67.1% of turnover.
Revelis solutions for manufacturing
At Revelis, we offer the manufacturing sector a series of specific AI solutions designed to support the monitoring, optimization, and efficiency of production processes.
PlugAIn is our flagship IoT Intelligence platform for manufacturing companies. Thanks to its integration with Rialto™ technology, PlugAIn can acquire data from any IoT sensor network, manage it through a data lake, and visualize it in real-time operational dashboards. Machine learning, deep learning, and automated reasoning models allow for predicting faults and anomalies, while “explanation” techniques make the results accessible and interpretable by company decision-makers.
A highly effective application area is predictive maintenance, which, through a platform that analyzes time series generated by sensors and predicts fault scenarios, allows for targeted interventions only when necessary. This approach reduces plant downtime and optimizes costs, with an estimated average saving of at least 20%.
Furthermore, also in the context of data monitoring in manufacturing, at Revelis, to ensure high levels of production quality, we have developed computer vision solutions applied to quality control, based on neural networks capable of identifying defects or discrepancies between the finished product and design specifications. This allows for exhaustive and automated control of industrial products, overcoming the limitations of manual and sample checks.
Finally, the most recent project related to data monitoring is InCoP, developed as part of the FAIR – Industry 5.0 Collaborative Platform initiative, which aims to connect people, processes, and objects in an integrated ecosystem. InCoP includes modules for decision support, mass customization, and task intelligence to guide workers during operations, increasing operational efficiency by up to 40% and reducing production costs by 20% in pilot cases like Target S.p.A., discussed in our blog within the context of corporate solutions for employee well-being.
Challenges and future prospects for manufacturing in Italy
Despite its tradition and excellence, Italian manufacturing, based on data collected by Confindustria, faces significant challenges such as:
- Decline in industrial production (-3.3% in the first 9 months of 2024);
- Automotive crisis (-19.4% compared to 2023);
- SMEs often lagging in digitalization.
In response, the government has introduced the Transition 4.0 Plan, which provides tax incentives for investments in Industry 4.0 technologies, Research and Development, training, and sustainability, with funds totaling over €13.4 billion.
Data monitoring therefore becomes essential to support this transition: only those who effectively integrate real-time data analysis and AI will be able to compete globally, preserve “Made in Italy,” and face demographic, regulatory, and competitive challenges.
Conclusion
In summary, Italian manufacturing remains a pillar of the national economy, with a significant contribution to GDP and exports. Data monitoring through sensors, IoT, AI, and predictive analytics allows companies to gain key competitive advantages such as:
- Efficiency
- Quality
- Sustainability
- Resilience
In a context affected by crises and slowdowns, embracing these tools becomes essential for the future of the sector, and Revelis can support companies with AI solutions for data monitoring and analysis, helping Italian manufacturing companies create a strategic competitive advantage in the long term.
